Senior Data Scientist at Neenopal Inc.AWS Solutions Architect AssociatePower BI DeveloperBest Employee of the Quarter Q3 2021Winner at the Great Indian Hiring Hackathon.Experienced in Data collection, cleaning, wrangling, exploratory analysis, modelling, visualizing and effective communication; Data Engineering, Power BI Visualization and AWS Cloud Services.Lead PowerBI project for a Leading Healthcare company in US : Employee trainingSales Channel managementProfit & Loss AnalysisMarketing spends simulationSales vs plansPowerBI Project for Wellness and Fitness Service Industry: Overall sales and Product wise analysisInventory analysisSales vs stockMultiple NLP Projects for a leading NBFC• Led a team of 3 Data Scientists to implement solutions for analysing unstructured data• Implemented sentiment analysis on transcripts of calls• Developed Text matching algorithm for customer addresses VPA Bot using Amazon Lex for an automobile company • Developed a POC to take voice input, convert voice to text, decode the intention of the user (match to list of Qs) through a python ML model and provide the response back using Amazon Polly • ML model also able to learn end user behaviour and pre-empt the likely Qs and give suggestions to the user Customer Segmentation & Churn Analysis • Collected and crunched data from internal and external sources to arrive at actionable Customer Segments for the business teams • Built and fine-tuned classification models for Customer Churn Prediction using PythonCredit Facility scoring model in Python for Leasing business of a leading Financial Institution • Incorporated borrower and equipment features, business constraints• Built ensemble of models combining models ranging from logistic regression to XGBoost, ensured seamless deployment in production • Iterated and refined models further to create significant business impact𝗦𝗸𝗶𝗹𝗹𝘀:𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝘀𝗸𝗶𝗹𝗹𝘀 PythonNumPy. SciPy. Pandas. Matplotlib, Seaborn, Scikit Learn, BeautifulSoup, NLTK, spaCy𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 SQL querying, MS SQL Server𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀Probability Basics and Random Variables, Probability Distributions, Hypothesis Testing, Modelling𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻Power BI, Python, MS Excel𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 NLP Models, Regression Models, Clustering Models, Decision Tree Models, K-NNEducator and a human with lots of curiosity and compassion. I'm very passionate about child and parental education and helping towards building peaceful & happy families.